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Training Prompt Caching - Optimizing LLM Costs and Latency

Ref: TRC418
10 people max.
From $5,145 HT / per person
Group rate: $12,863 (team / on-site)
Pay in 3 installments · On-site on request · +$540 with certification exam
4 days
Remote

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Aptar
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Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft

Learning objectives

  • Master prompt caching mechanisms for professional AI applications
  • Develop optimized LLM pipelines with integrated caching
  • Implement prompt caching on OpenAI and local models
  • Optimize costs and performance in a certifying corporate environment
  • Design scalable architectures with caching expertise
  • Deploy secure prompt caching solutions in production

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Imed BEN AMOR
Imed BEN AMOR

Learni trainer · Development expert

73%productivity gap
×3cost of inaction

Program

Module 1Fundamentals: prompt caching mechanisms and LLM analysis (OpenAI, hashing, TTL)

Dive into the advanced principles of prompt caching, analyze repetitive prompt structures in your AI workflows, configure tools like OpenAI API with SHA-256 hashing to identify caches, test real business scenarios on chatbots, measure immediate gains in latency and costs, produce a caching audit report on your red thread project to visualize professional optimization opportunities.

Module 2Implementation: integrating prompt caching in Python (Redis, LangChain, custom wrappers)

Build custom caching wrappers in asynchronous Python, integrate Redis as a backend to store LLM responses, apply TTL strategies and intelligent invalidation on concrete business cases, migrate an existing pipeline without major refactoring, measure token consumption reductions via Grafana dashboards, finalize a functional prototype of your red thread project with unit tests for rapid production deployment.

Module 3Optimization: advanced tuning of prompt caching (multi-models, hybridization, monitoring)

Optimize cache hit rates above 80% on mixed OpenAI and local workloads, hybridize with vector stores for dynamic contextual prompts, implement monitoring with Prometheus to alert on cache misses, resolve pitfalls like variable prompts via fuzzy matching, apply to enterprise use cases such as scalable RAG, refine your red thread project with A/B testing to validate real performance and cost gains.

Module 4Deployment: productionizing prompt caching (Kubernetes, security, enterprise scaling)

Deploy your prompt caching solution on Kubernetes with autoscaling, secure caches against sensitive data leaks via encryption and ACLs, integrate CI/CD for automated updates, simulate extreme loads to validate resilience, prepare documentation and handover for IT teams, conclude with the defense of your optimized red thread project, ready for immediate ROI in a certifying enterprise.

Evaluation method

  • Advanced MCQ on caching mechanisms and implementations
  • Practical evaluation through LLM pipeline optimization
  • Defense of red thread project with performance metrics

Learning method

  • Training by expert AI production instructor
  • Exercises on real business cases with live LLMs
  • Progressive red thread caching project over 4 days
  • Full course materials and source code provided

Methods, materials and delivery

The Training Prompt Caching - Optimizing LLM Costs and Latency program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Prompt Caching - Optimizing LLM Costs and Latency program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Prompt Caching - Optimizing LLM Costs and Latency program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

FAQ

Frequently asked questions

How much does the Training Prompt Caching - Optimizing LLM Costs and Latency training cost?+
The individual price is $5,145, and the team / on-site price is $12,863 (USD). A detailed quote is sent within one business day.
How long is the Training Prompt Caching - Optimizing LLM Costs and Latency training?+
The training lasts 4 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of LLM APIs (OpenAI, Anthropic), advanced prompting, asynchronous Python
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote

This training across cities

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